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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 311–320 of 640 papers

TitleStatusHype
SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive NormalizationCode0
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning—0
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Class Balanced PixelNet for Neurological Image Segmentation—0
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Segmentation-Consistent Probabilistic Lesion CountingCode0
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation—0
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
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